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Empirical high-resolution wind field and gust model in mountainous and hilly terrain based on the dense WegenerNet station networks

机译:基于密集WegenerNet站网的山区和丘陵地形的经验高分辨率风场和阵风模型

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A weather diagnostic application for automatic generation of gridded wind fields in near-real-time, recently developed by the authors Schlager et?al. (2017), is applied to the WegenerNet Johnsbachtal (JBT) meteorological station network. This station network contains 11?meteorological stations at elevations from about 600 to 2200 m in a mountainous region in the north of Styria, Austria. The application generates, based on meteorological observations with a temporal resolution of 10 min from the WegenerNet JBT, mean wind and wind gust fields at 10 and 50 m height levels with a high spatial resolution of 100?m?×?100?m and a temporal resolution of 30 min. These wind field products are automatically stored to the WegenerNet data archives, which also include long-term averaged weather and climate datasets from post-processing. The main purpose of these empirically modeled products is the evaluation of convection-permitting dynamical climate models as well as investigating weather and climate variability on a local scale. The application's performance is evaluated against the observations from meteorological stations for representative weather conditions, for a month including mainly thermally induced wind events (July?2014) and a month with frequently occurring strong wind events (December?2013). The overall statistical agreement, estimated for the vector-mean wind speed, shows a reasonably good modeling performance. Due to the spatially more homogeneous wind speeds and directions for strong wind events in this mountainous region, the results show somewhat better performance for these events. The difference between modeled and observed wind directions depends on the station location, where locations along mountain slopes are particularly challenging. Furthermore, the seasonal statistical agreement was investigated from 5-year climate data of the WegenerNet JBT in comparison to 9-year climate data from the high-density WegenerNet meteorological station network Feldbach Region (FBR) analyzed by Schlager et?al. (2017). In general, the 5-year statistical evaluation for the JBT indicates similar performance as the shorter-term evaluations of the two representative months. Because of the denser WegenerNet FBR network, the statistical results show better performance for this station network. The application can now serve as a valuable tool for intercomparison with, and evaluation of, wind fields from high-resolution dynamical climate models in both the WegenerNet FBR and JBT regions.
机译:作者Schlager等人最近开发了一种天气诊断应用程序,用于近实时自动生成网格风场。 (2017),应用于WegenerNet Johnsbachtal(JBT)气象站网络。该站网包含11个气象站,位于奥地利施蒂里亚州北部山区,海拔约600至2200 m。该应用程序基于来自WegenerNet JBT的时间分辨率为10分钟的气象观测结果,生成10和50 m高度水平的平均风和阵风场,具有100?m?×?100?m的高空间分辨率和30分钟的时间分辨率。这些风场产品会自动存储到WegenerNet数据档案中,其中还包括来自后期处理的长期平均天气和气候数据集。这些以经验为模型的产品的主要目的是评估允许对流的动态气候模型,以及在局部范围内调查天气和气候变异性。该应用程序的性能是根据气象站针对代表性天气情况的观察结果进行评估的,一个月主要包括热诱发的风事件(2014年7月至2014年)和一个频繁发生强风事件的月份(2013年12月至2013年)。根据矢量平均风速估算的总体统计协议显示了相当好的建模性能。由于该山区在空间上更均匀的风速和强风事件的方向,结果显示这些事件的性能有些好。模拟风向和观测风向之间的差异取决于站点的位置,而沿山坡的位置尤其具有挑战性。此外,季节统计协议是从WegenerNet JBT的5年气候数据与Schlager等人分析的高密度WegenerNet气象站网络Feldbach Region(FBR)的9年气候数据进行比较后得出的。 (2017)。通常,对JBT的5年统计评估表明,该绩效与两个代表月份的短期评估相似。由于WegenerNet FBR网络更密集,因此统计结果表明该站点网络具有更好的性能。现在,该应用程序可以用作比较和评估WegenerNet FBR和JBT地区高分辨率动态气候模型的风场的有价值的工具。

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